CRISPR-Based Diagnostic Assay for Point-of-Care Detection of Methicillin-Resistant Staphylococcus aureus in patients with Bloodstream Infections

金黄色葡萄球菌 医学 抗菌剂 葡萄球菌感染 注意事项 菌血症 血流感染 耐甲氧西林金黄色葡萄球菌 重症监护医学 内科学 病危 血培养 临床终点 临床实习 诊断试验 并发症 从长凳到床边 微生物学 微球菌科 快速诊断试验 免疫学 抗生素 全血 临床试验
作者
Haobo Huang,Jun-Heng Zhang,HU Xie-fei,Jing-Song Xu,Yu Liu,Shuang Yang,Tian-Ming Li,Zi-yue Zhu,Shun Li,Wei Li,Min Li,Hua Wang
出处
期刊:ACS Sensors [American Chemical Society]
标识
DOI:10.1021/acssensors.6c01650
摘要

Methicillin-resistant Staphylococcus aureus (MRSA) is a leading cause of mortality in critically ill patients with bloodstream infections (BSIs). Timely diagnosis and early initiation of guideline-concordant antimicrobial therapy are independently associated with improved survival and reduced complication rates in patients with MRSA BSIs. However, current blood culture-based detection of MRSA requires 3-7 days for definitive identification and antimicrobial susceptibility reporting, entails numerous manual steps, and frequently delays the transition from empirical to pathogen-directed therapy, thereby affecting treatment outcomes and patient prognosis. Here, we present a highly sensitive and specific CRISPR-based diagnostic platform that shortens the MRSA detection time from >70 h to ∼2 h-enabling true "sample-to-result" testing directly from whole blood at the point of care. This study develops a one-step RPA-CRISPR assay targeting the S. aureus nucA and mecA genes, with 10 copies/reaction sensitivity and no cross-reactivity. By integrating vancomycin-conjugated magnetic nanoparticles, a herringbone microfluidic chip, and a miniaturized wireless analyzer, the platform performs on-chip S. aureus capture, lysis-mediated DNA release, and dual-gene detection directly from whole blood. In a prospective, multicenter clinical evaluation of 350 hospitalized patients with suspected bacteremia, the HELP platform identified all 20 S. aureus-positive cases (including 8 MRSA-positive cases), demonstrating 100% positive percent agreement with blood culture. By delivering definitive MRSA identification in under 2 h, HELP markedly accelerates clinical decision-making, facilitates the timely initiation of targeted antimicrobial therapy, and holds strong potential for scalable deployment in primary care and resource-constrained settings.
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